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xlm-roberta-base-vietnamese
SalmonAI123/xlm-roberta-base-vietnamese
xlm-roberta-base-vietnamese is a question answering model from SalmonAI123. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Oct 16, 2023
- Updated
- Oct 17, 2023
- SHA
- 9fc08509
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
xlm-roberta-base-vietnamese
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2241
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2582 | 1.0 | 1734 | 0.2494 |
| 0.1803 | 2.0 | 3469 | 0.2197 |
| 0.1218 | 3.0 | 5202 | 0.2241 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- Created
- Oct 16, 2023
- Updated
- Oct 17, 2023